Maintenance practices and overall equipment effectiveness: testing the moderating effect of training

IF 1.8 Q3 ENGINEERING, INDUSTRIAL
A. Duarte, Marcia Regina Santiago Santiago Scarpin
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引用次数: 1

Abstract

PurposeThis study aims to identify the relationship between different maintenance practices and productive efficiency in continuous process productive plants as well as the moderating effect of good training practices.Design/methodology/approachThe empirical data were drawn from a database containing 609 observations of 29 productive units. Scales were validated using the Q-sort method. The panel data technique was used as the analysis methodology, with the inclusion of fixed effects for each productive plant.FindingsMaintenance practices can effectively contribute to increasing the overall equipment effectiveness (OEE) of firms. Application of predictive maintenance practices should be considered as the primary training tool.Research limitations/implicationsThis study used a secondary database, limiting the research design and data manipulation.Practical implicationsThe article provides practitioners with an analysis of maintenance practices by category (predictive, preventive and corrective), and the impact of each practice on the OEE of continuous process productive plants. Moreover, it explores the importance of training for extracting more results from maintenance practices.Social implicationsCompanies are investing in new technologies, but it is also essential to invest in training people. There is a demand for Industry 4.0 through the introduction of upskilling and reskilling programs.Originality/valueThis study used practice-based view (PBV) theory to explain how maintenance practices help firms achieve greater OEE. Furthermore, it introduced training practice as a moderating variable in the relationship between maintenance practices and OEE.
维修实践和整体设备有效性:测试培训的调节效果
目的本研究旨在确定连续过程生产装置中不同维护实践与生产效率之间的关系,以及良好培训实践的调节作用。设计/方法/方法经验数据来自一个数据库,该数据库包含29个生产单元的609个观测值。使用Q排序方法对量表进行验证。面板数据技术被用作分析方法,包括每个生产工厂的固定影响。发现维护实践可以有效地提高企业的整体设备效率(OEE)。预测性维护实践的应用应被视为主要的培训工具。研究局限性/含义本研究使用了二级数据库,限制了研究设计和数据操作。实践含义本文按类别(预测性、预防性和纠正性)为从业者提供了维护实践的分析,以及每种实践对连续过程生产装置OEE的影响。此外,它还探讨了培训对从维护实践中获得更多结果的重要性。社会影响公司正在投资新技术,但投资培训人员也至关重要。通过引入提高技能和再技能计划,对工业4.0有需求。独创性/价值本研究使用基于实践的观点(PBV)理论来解释维护实践如何帮助企业实现更大的OEE。此外,它还引入了培训实践作为维护实践与OEE之间关系的调节变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Quality in Maintenance Engineering
Journal of Quality in Maintenance Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
4.00
自引率
13.30%
发文量
24
期刊介绍: This exciting journal looks at maintenance engineering from a positive standpoint, and clarifies its recently elevatedstatus as a highly technical, scientific, and complex field. Typical areas examined include: ■Budget and control ■Equipment management ■Maintenance information systems ■Process capability and maintenance ■Process monitoring techniques ■Reliability-based maintenance ■Replacement and life cycle costs ■TQM and maintenance
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